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Entropiu maximalizujúce modely v regionálnej analýze
Entropy Maximizing Models in Regional Analysis

Author(s): Ján Paulov
Subject(s): Economy
Published by: Ekonomický ústav SAV a Prognostický ústav SAV
Keywords: entropy maximizing models; regional analysis; information theory; distribution models

Summary/Abstract: The basic objective of this paper is to bring an overview on some research potentialities of entropy maximizing models in regional analysis, the discipline analysing spatial organisation of society on the regional level. The first part of the paper brings basic information on entropy as a concept of science: in classical (phenomenological) thermodynamics, in statistical mechanics (thermodynamics) and in information theory. In the second part the concept of maximum entropy and its relevance is discussed, particularly in statistical mechanics and informa-tion theory. A special attention (in the second part of the paper) is paid to maxi-mizing entropy in the derivation of the distribution models in statistical mechan-ics using Boltzmann’s entropy and to Jayne’s „maximum entropy principle“ enabling the derivation of these models by maximizing Shannon’s entropy. The third part of the paper demonstrates how the entropy maximizing models can be used in regional analysis.

  • Issue Year: 52/2004
  • Issue No: 07
  • Page Range: 901-909
  • Page Count: 9
  • Language: Slovak